A BI-Based Framework for Improving Decisions in the Healthcare

Abstract

Healthcare emergence and trend lies on the new technologies of the ITC. It has greatly increased the health institutions in Sudan, which receive huge numbers of patients on a daily basis. The main suffering in healthcare come from poor data that has been traditionally stored in repository formats making it difficult to analyze or use effectively. Inconsistencies, and lacks integration of data, producing confusion for healthcare stakeholders to making decisions, which leads to many problems in this sector, including, loss of lives. This study aims to propose a new framework for improving decisions making in the healthcare domain based on BI implementation to be advantageously applied to the health system’s infrastructure data. Furthermore, investigating the benefits of implementing BI in the healthcare sector to enhance the decisions processes base on the real information using three case study (providers, Time, and Service management). A hybrid model approach was used to develop a BI implementation in Sudanese healthcare sectors. The proposed hybrid model tends in gathering data and exploring the main factors affecting its adoption, to achieve the research objectives. Qualitative and quantitative analysis methodologies and exploratory interviews were used in identifying the factors affecting on the BI implementation and their associated factors. The results have enhanced the healthcare process in two fold; first the real time dashboard by storing, integrating and retrieving healthcare information. Second using knowledge discovery in terms of providers and services waiting time through data mining technique to 11% and 18% respectively